Zobrazeno 1 - 10
of 751
pro vyhledávání: '"phoneme recognition"'
Autor:
ZHANG Qinjie, HUANG Sui, TAN Haoyue, ZHOU Xiang, WANG Junyi, LIU Yuzi, WEN Wen, GUO Jia, WU Hao, JIA Huan
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 10, Pp 1279-1286 (2024)
Objective·To develope an auditory brainstem implant (ABI) vocoder based on cochlear implant (CI) vocoder characteristics and ABI electrode array topology, and to verify its reliability.Methods·An "n-of-m" coding strategy CI/ABI vocoder was construc
Externí odkaz:
https://doaj.org/article/76ec23947d5f43cdac34f724e59c709a
Publikováno v:
Acoustics, Vol 6, Iss 3, Pp 772-781 (2024)
In this paper, we present a novel approach for text-independent phone-to-audio alignment based on phoneme recognition, representation learning and knowledge transfer. Our method leverages a self-supervised model (Wav2Vec2) fine-tuned for phoneme reco
Externí odkaz:
https://doaj.org/article/94093317087d40afaf46ad5e9219c579
Autor:
Ammar Mohammed Ali Alqadasi, Akram M. Zeki, Mohd Shahrizal Sunar, Md. Sah Bin Hj Salam, Rawad Abdulghafor, Nashwan Abdo Khaled
Publikováno v:
IEEE Access, Vol 12, Pp 229-244 (2024)
Segmentation plays a crucial role in speech processing applications, where high accuracy is essential. The quest for improved accuracy in automatic segmentation, particularly in the context of the Arabic language, has garnered substantial attention.
Externí odkaz:
https://doaj.org/article/ab78a03676084e2087a3ed3ff2b82654
Autor:
Wenqin Wu, Joonwhoan Lee
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8532 (2024)
In general, it is difficult to obtain a huge, labeled dataset for deep learning-based phoneme recognition in singing voices. Studying singing voices also offers inherent challenges, compared to speech, because of the distinct variations in pitch, dur
Externí odkaz:
https://doaj.org/article/eb64634c4ab242aaaf22eb49adc1e5aa
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2326-2337 (2023)
Perception with electric neuroprostheses is sometimes expected to be simulated using properly designed physical stimuli. Here, we examined a new acoustic vocoder model for electric hearing with cochlear implants (CIs) and hypothesized that comparable
Externí odkaz:
https://doaj.org/article/66bd731a71f540c4bff8fd6ededf22d8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mohammed Algabri, Hassan Mathkour, Mohamed Abdelkader Bencherif, Mansour Alsulaiman, Mohamed Amine Mekhtiche
Publikováno v:
IEEE Access, Vol 8, Pp 54663-54680 (2020)
The use of cutting edge object detection techniques to build an accurate phoneme sequence recognition system for English and Arabic languages is investigated in this study. Recently, numerous techniques have been proposed for object detection in dail
Externí odkaz:
https://doaj.org/article/084fd3f2dccf498e8c1e2cade2f5fec1
Autor:
Ahmed B. Ibrahim, Yasser Mohammad Seddiq, Ali Hamid Meftah, Mansour Alghamdi, Sid-Ahmed Selouani, Mustafa A. Qamhan, Yousef A. Alotaibi, Saleh A. Alshebeili
Publikováno v:
IEEE Access, Vol 8, Pp 200395-200411 (2020)
Distinctive phonetic features have an important role in Arabic speech phoneme recognition. In a given language, distinctive phonetic features are extrapolated from acoustic features using different methods. However, exploiting lengthy acoustic featur
Externí odkaz:
https://doaj.org/article/0c98ced9663148789d67afbc09ec4c5b
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 7, Iss 1, Pp 137-147 (2019)
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems signifi
Externí odkaz:
https://doaj.org/article/c8bf39ed20ee4761b97829c61caa163d